### Create and Manipulate SIMD-Aligned Vectors in Rust Source: https://github.com/ralfbiedert/simd_aligned/blob/master/README.md This example demonstrates how to create `VecSimd` instances for `f64` elements, ensuring proper memory alignment for fast access. It shows how to obtain a flat, mutable view of the vector to set individual elements and then perform SIMD operations using the underlying `f64x4` types. ```Rust use simd_aligned::*; // Create vectors of `10` f64 elements with value `0.0`. let mut v1 = VecSimd::::with(0.0, 10); let mut v2 = VecSimd::::with(0.0, 10); // Get "flat", mutable view of the vector, and set individual elements: let v1_m = v1.flat_mut(); let v2_m = v2.flat_mut(); // Set some elements on v1 v1_m[0] = 0.0; v1_m[4] = 4.0; v1_m[8] = 8.0; // Set some others on v2 v2_m[1] = 0.0; v2_m[5] = 5.0; v2_m[9] = 9.0; let mut sum = f64x4::splat(0.0); // Eventually, do something with the actual SIMD types. Does // `std::simd` vector math, e.g., f64x8 + f64x8 in one operation: sum = v1[0] + v2[0]; ``` -------------------------------- ### SIMD-Aligned Performance Benchmarks Source: https://github.com/ralfbiedert/simd_aligned/blob/master/README.md This snippet presents benchmark results comparing the performance of `simd_aligned` operations against traditional scalar and packed vector approaches. It illustrates that `simd_aligned` maintains high performance, comparable to optimized SIMD operations, without the complexity of manual alignment. ```Rust test vectors::packed ... bench: 77 ns/iter (+/- 4) test vectors::scalar ... bench: 1,177 ns/iter (+/- 464) test vectors::simd_aligned ... bench: 71 ns/iter (+/- 5) ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.